Using a developmental perspective to examine the moderating effects of marriage on heavy episodic drinking in a young adult sample enriched for risk.
- Authors
- Cho, Seung Bin; Smith, Rebecca L; Bucholz, Kathleen; Chan, Grace; Edenberg, Howard J; Hesselbrock, Victor; Kramer, John; McCutcheon, Vivia V; Nurnberger, John; Schuckit, Marc; Zang, Yong; Dick, Danielle M; Salvatore, Jessica E
- Year
- 2021
- Journal
- Development and psychopathology
- PMID
- 32611468
- DOI
- 10.1017/S0954579420000371
- PMCID
- PMC7775899
Many studies demonstrate that marriage protects against risky alcohol use and moderates genetic influences on alcohol outcomes; however, previous work has not considered these effects from a developmental perspective or in high-risk individuals. These represent important gaps, as it cannot be assumed that marriage has uniform effects across development or in high-risk samples. We took a longitudinal developmental approach to examine whether marital status was associated with heavy episodic drinking (HED), and whether marital status moderated polygenic influences on HED. Our sample included 937 individuals (53.25% female) from the Collaborative Study on the Genetics of Alcoholism who reported their HED and marital status biennially between the ages of 21 and 25. Polygenic risk scores (PRS) were derived from a genome-wide association study of alcohol consumption. Marital status was not associated with HED; however, we observed pathogenic gene-by-environment effects that changed across young adulthood. Among those who married young (age 21), individuals with higher PRS reported more HED; however, these effects decayed over time. The same pattern was found in supplementary analyses using parental history of alcohol use disorder as the index of genetic liability. Our findings indicate that early marriage may exacerbate risk for those with higher polygenic load.
Heavy episodic drinking as a function of the three-way interaction of Alc-PRS, marital status, and time. Notes. CIs are not symmetric because they were converted from expected log-transformed counts. The first three ancestral principal components and sex were included as covariates. HED frequency was measured in days over the last 12 months. Abbreviations: CI = Confidence interval; HED = Heavy episodic drinking; PRS = Genome-wide polygenic risk score for alcohol.
Heavy episodic drinking as a function of the three-way interaction between parental history of alcohol disorder, marital status, and time. Notes. CIs are not symmetric because they were converted from expected log-transformed counts. The first three ancestral principal components and sex were included as covariates. HED frequency was measured in days over the last 12 months. Abbreviations: CI = Confidence interval; HED = Heavy episodic drinking; PHAD = Parental history of alcohol disorder.
| Name | Type |
|---|---|
| 1000 Genome Phase 3 local | cohort |
| 1000 Genomes Project | cohort |
| AFR | cohort |
| age | phenotype |
| AlcGen local | cohort |
| alcohol | phenotype |
| alcohol dependence | phenotype |
| Alcohol dependent probands local | cohort |
| Alcohol Problems | phenotype |
| alcohol-related phenotypes | phenotype |
| alcohol-related problems | phenotype |
| Alcohol Use | phenotype |
| Alcohol Use Disorder | phenotype |
| alcohol use disorders | phenotype |
| CHARGE+ local | cohort |
| clinically ascertained families local | cohort |
| Clinically Ascertained Families local | cohort |
| Clinically Ascertained Group local | cohort |
| COGA sample | cohort |
| Collaborative Study on the Genetics of Alcoholism (COGA) | cohort |
| college attendance | phenotype |
| College attendance local | cohort |
| College Attendance local | cohort |
| complex traits and behaviors local | phenotype |
| Covariate-by-environment interaction local | phenotype |
| current sample | cohort |
| Divorce and separation local | phenotype |
| drinking | phenotype |
| early marriage | phenotype |
| educational attainment | phenotype |
| EUR | cohort |
| European ancestry | cohort |
| European population | cohort |
| family ascertainment status local | phenotype |
| Family ascertainment status local | phenotype |
| family history positive | phenotype |
| Finances local | phenotype |
| Gene-by-covariate interaction local | phenotype |
| Gene-by-environment effect local | phenotype |
| genome-wide polygenic risk score local | drug |
| Genome-wide Polygenic Scores local | drug |
| health | phenotype |
| heavy drinking | phenotype |
| Heavy Episodic Drinking (HED) local | phenotype |
| HED | phenotype |
| Later Marriage local | phenotype |
| marital status | phenotype |
| married individuals | cohort |
| Married participants local | cohort |
| older adults | cohort |
| parental alcoholism | phenotype |
| parental divorce/separation | phenotype |
| PHAD local | drug |
| polygenic risk score | cohort |
| predisposition for alcohol problems local | phenotype |
| present study | cohort |
| problematic alcohol use | phenotype |
| Prospective Study | cohort |
| Prospective Study sample of COGA local | cohort |
| PRS | drug |
| sample enriched for risk local | cohort |
| Schumann et al., 2016 local | cohort |
| Separated | phenotype |
| Separation | phenotype |
| sex | phenotype |
| SNP | cohort |
| substance use | phenotype |
| unascertained community comparison families local | cohort |
| unascertained comparison families local | cohort |
| Unascertained comparison families local | cohort |
| Unascertained Comparison Families local | cohort |
| Unascertained Comparison Group local | cohort |
| Unmarried | phenotype |
| Unmarried group local | cohort |
| unmarried individuals | phenotype |
| Unmarried participants local | cohort |
| young adult risk cohort local | cohort |
| young adults | cohort |
| young adults enriched for risk local | cohort |
| Young Adults Enriched for Risk local | cohort |
No uploaded files.
| Citation | PMID | DOI | Status |
|---|---|---|---|
| AikenLS, & WestSG (1991). Multiple regressioni Testing and interpreting interactions. Thousand Oaks, CA: Sage Publications, Inc. | β | β | β |
| American Psychiatric Association. (1987). Diagnostic and Statistical Manual of Mental Disorders, Revised (3rd, text rev.). Washington, DC: Author. | β | β | β |
| American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th, text rev.). Washington, DC: Author. | β | β | β |
| BachmanJG, OβMalleyPM, & JohnstonLD (1984). Drug use among young adults: The impacts of role status and social environment. Journal of Personality and Social Psychology, 47(3), 629β645. doi: 10.1037/0022-3514.47.3.6296333504 | β | β | β |
| BarrPB, SalvatoreJE, MaesHH, KorhonenT, LatvalaA, AlievF, β¦ DickDM (2017). Social relationships moderate genetic influences on heavy drinking in young adulthood. Journal of Studies on Alcohol andDrugs, 78(6), 817β826. doi: 10.15288/jsad.2017.78.817PMC566899129087815 | β | β | β |
| BegleiterHenri, ReichTheodore, HesslbrockVictor, PorjeszBernice, LiTing-Kai, SchuckitMarc A., β¦ RiceJohn P. (1995). The Collaborative Study on the Genetics of Alcoholism. Alcohol Health & Research World, 19(3), 228β236. Retrieved from https://pubs.niaaa.nih.gov/publications/ahrw19-3/228%E2%80%93236.pdf31798102PMC6875768 | β | β | β |
| BogdanR, BarangerDAA, & AgrawalA (2018). Polygenic risk scores in clinical psychology: Bridginggenomic risk to individualdifferences. 14, 17.1β17.39. doi: 10.1146/annurev-clinpsy-050817-084847PMC777293929579395 | β | β | β |
| BucholzKK, McCutcheonVV, AgrawalA, DickDM, HesselbrockVM, KramerJR, β¦ PorjeszB (2017). Comparison of parent, peer, psychiatric, and cannabis use influences across stages of offspring alcohol involvement: Evidence from the COGA Prospective Study. Alcoholism: Clinical and Experimental Research, 41(2), 359β368. doi: 10.1111/acer.13293PMC527277628073157 | β | β | β |
| CottonNS (1979). The familial incidence of alcoholism: A review. Journal of Studies on Alcohol, 40(1), 89β116. doi: 10.15288/jsa.1979.40.89376949 | β | β | β |
| CraddockE, vanDellenMR, NovakSA, & RanbyKW (2015). Influence in relationships: A meta-analysis on health-related social control. Basic & Applied Social Psychology, 37(2), 118β130. doi: 10.1080/01973533.2015.1011271 | β | β | β |
| DelaneauO, ZaguryJ-F, & MarchiniJ (2013). Improved whole-chromosome phasing for disease and population genetic studies. Nature Methods, 10(1), 5β6. doi: 10.1038/nmeth.230723269371 | β | β | β |
| DinescuD, TurkheimerE, BeamCR, HornEE, DuncanG, & EmeryRE (2016). Is marriage a buzzkill? A twin study of marital status and alcohol consumption. Journal of Family Psychology, 30(6), 698β707. doi: 10.1037/fam000022127336180PMC5014643 | β | β | β |
| DupreME, & MeadowsSO (2007). Disaggregating the effects of marital trajectories on health. Journal of Family Issues, 28(5), 623β652. doi: 10.1177/0192513X06296296 | β | β | β |
| EickmeyerKasey J., & HemezPaul. (2017). Family Profiles (Vol. FP-17β23). Bowling Green, OH: National Center for Family & Marriage Research. doi: 10.25035/ncfmr/fp-17-23 | β | β | β |
| ElderGH (1994). Time, human agency, and social change: Perspectives on the life course. Social Psychology Quarterly, 57(1), 4β15. doi: 10.2307/2786971 | β | β | β |
| FeighnerJP, RobinsE, GuzeSB, WoodruffRA, WinokurG, & MunozR (1972). Diagnostic criteria for use in psychiatric sesearch. Archives of General Psychiatry, 26(1), 57. doi: 10.1001/archpsyc.1972.017501900590115009428 | β | β | β |
| ForoudT, EdenbergHJ, GoateA, RiceJ, FluryL, KollerDL, β¦ ReichT (2000). Alcoholism susceptibility loci: Confirmation studies in a replicate sample and further mapping. Alcoholism: Clinical and Experimental Research, 24(7), 933β945. doi: 10.1111/j.1530-0277.2000.tb04634.x10923994 | β | β | β |
| ForthoferMelinda S., KesslerRonald C., StoryAmber L., & GotlibIan H. (1996). The effects of psychiatric disorders on the probability and timing of first marriage. Journal of Health and Social Behavior, 37(2), 121. doi: 10.2307/21372688690874 | β | β | β |
| GrantBF, GoldsteinRB, SahaTD, ChouSP, JungJ, ZhangH, β¦ HasinDS (2015). Epidemiology of DSM-5 Alcohol Use Disorder: Results from the National Epidemiologie Survey on Alcohol and Related Conditions III. JAMA Psychiatry, 72(8), 757β766. doi: 10.1001/jamapsychiatry.2015.058426039070PMC5240584 | β | β | β |
| GrantJD, HeathAC, BucholzKK, MaddenPAF, AgrawalA, StathamDJ, & MartinNG (2007). Spousal concordance for alcohol dependence: Evidence for assortative mating or spousal interaction effects? Alcoholism, Clinical and Experimental Research, 31(5), 717β728. doi: 10.im/j.1530-0277.2007.00356.x17378921 | β | β | β |
| HeathAC, JardineR, & MartinNG (1989). Interactive effects of genotype and social environment on alcohol consumption in female twins. Journal of Studies on Alcohol, 59(1), 38β48. doi: 10.15288/jsa.1989.50.382927121 | β | β | β |
| HillSY, ShenS, LowersL, & LockeJ (2000). Factors predicting the onset of adolescent drinking in families at high risk for developing alcoholism. BiologicalPsychiatry, 48(4), 265β275. doi: 10.1016/S0006-3223(00)00841-610960157 | β | β | β |
| HornEE, XuY, BeamCR, TurkheimerE, & EmeryRE (2013). Accounting for the physical and mental health benefits of entry into marriage: A genetically informed study of selection and causation. Journal of Family Psychology, 27(1), 30β41. doi: 10.1037/a002980323088795PMC3645280 | β | β | β |
| HowieB, FuchsbergerC, StephensM, MarchiniJ, & AbecasisGR (2012). Fast and accurate genotype imputation in genome-wide association studies through pre-phasing. Nature Genetics, 44(8), 955β959. doi: 10.1038/ng.235422820512PMC3696580 | β | β | β |
| JohnstonLD, OβMalleyPM, MiechRA, BachmanJG, & SchulenbergJE (2015). Monitoring the Future national survey results on drug use: 1975β2014: OverView, key findings on adolescent drug use. Retrieved from http://www.monitoringthefuture.org/pubs/monographs/mtf-overview2014.pdf | β | β | β |
| KellerMC (2014). Gene x environment interaction studies have not properly controlled for potential confounders: The problem and the (simple) solution. Biological Psychiatry, 75(1), 18β24. doi: 10.1016/j.biopsych.2013.09.00624135711PMC3859520 | β | β | β |
| KendlerKS, JiJ, EdwardsAC, OhlssonH, SundquistJ, & SundquistK (2015). An extended Swedish National Adoption Study of Alcohol Use Disorder. JAMA Psychiatry, 72(3), 211β218. doi: 10.1001/jamapsychiatry.2014.213825565339PMC4351126 | β | β | β |
| KendlerKS, LΓΆnnSL, SalvatoreJ, SundquistJ, & SundquistK (2016). Effect of marriage on risk for onset of Alcohol Use Disorder: A longitudinal and co-relative analysis in a Swedish national sample. American Journal of Psychiatry, 173(9), 911β918. doi: 10.1176/appi.ajp.2016.15111373PMC500898727180900 | β | β | β |
| KesslerRC, WaltersEE, & ForthoferMS (1998). The Social Consequences of Psychiatric Disorders, III: Probability of Marital Stability. American Journal of Psychiatry, 155(8), 1092β1096. doi: 10.1176/ajp.155.8.10929699699 | β | β | β |
| LehrerEvelyn L. (2004). Religion as a determinant of economic and demographic behavior in the United States. Population and Development Review, 30(4), 707β726. doi: 10.1111/padr.2004.30.issue-4 | β | β | β |
| LeonardKE, & EidenRD (2007). Marital and family processes in the context of alcohol use and alcohol disorders. AnnualReview of ClinicalPsychology, 3(1), 285β310. doi: 10.1146/annurev.clinpsy.3.022806.091424PMC266724317716057 | β | β | β |
| LeonardKE, & RothbardJC (1999). Alcohol and the marriage effect. Journal of Studies on Alcohol, Supplement, (s13), 139β146. doi: 10.15288/jsas.1999.s13.13910225498 | β | β | β |
| LoughranDavid, & ZissimopoulosJulie. (2004). Are there gains to delaying marriage? The effect of age at first marriage on career development and wages (Vol. IDEAS Working Paper Series, pp. 1β38). Santa Monica, CA: RAND. Retrieved from https://www.rand.org/content/dam/rand/pubs/working_papers/2004/RAND_WR207.pdf | β | β | β |
| MaierRM, VisscherPM, RobinsonMR, & WrayNR (2018). Embracing polygenicity: A review of methods and tools for psychiatric genetics research. Psychological Medicine, 48(07), 1055β1067. doi: 10.1017/S003329171700231828847336PMC6088780 | β | β | β |
| OβConnellJR, & WeeksDE (1998). PedCheck: A program for identification of genotype incompatibilities in linkage analysis. American Journal of Human Genetics, 63(1), 259β266. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1377228/963450510.1086/301904PMC1377228 | β | β | β |
| OβMalleyPM, & JohnstonLD (2002). Epidemiology of alcohol and other drug use among American college students. Journal of Studies on Alcohol. Supplement, (14), 23β39.10.15288/jsas.2002.s14.2312022728 | β | β | β |
| PrescottCA, & KendlerKS (2001). Associations between marital status and alcohol consumption in a longitudinal study of female twins. Journal of Studies on Alcohol, 62(5), 589β604. doi: 10.15288/jsa.2001.62.58911702798 | β | β | β |
| PurcellS, NealeB, Todd-BrownK, ThomasL, FerreiraMAR, BenderD, β¦ ShamPC (2007). PLINK: A tool set for whole-genome association and population-based linkage analyses. The American Journal of Human Genetics, 81(3), 559β575. doi: 10.1086/51979517701901PMC1950838 | β | β | β |
| PurcellSM, WrayNR, StoneJL, VisscherPM, OβDonovanMC, SullivanPF, β¦ SklarP (2009). Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature, 460(August). doi: 10.1038/nature08185PMC391283719571811 | β | β | β |
| ReichT, EdenbergHJ, GoateA, WilliamsJT, RiceJP, EerdeweghPV, β¦ BegleiterH (1998). Genome-wide search for genes affecting the risk for alcohol dependence. American Journal of Medical Genetics, 81(3), 207β215. doi: 10.1002/(SICI)1096-8628(19980508)81:3<207::AID-AJMG1>3.0.CO;2-T9603606 | β | β | β |
| SalvatoreJE, AlievF, EdwardsAC, EvansDM, MacleodJ, HickmanM, β¦ DickDM (2014). Polygenic scores predict alcohol problems in an independent sample and show moderation by the environment. Genes, 5(2), 330β346. doi: 10.3390/genes502033024727307PMC4094936 | β | β | β |
| SalvatoreJE, LΓΆnnSL, LongEC, SundquistJ, KendlerKS, SundquistK, & EdwardsAC (2018). Parental Alcohol Use Disorder and offspring marital outcomes. Addiction, 114(1), 81β91. doi: 10.1111/add.1440530063276PMC6333305 | β | β | β |
| SchumannG, LiuC, OβReillyP, GaoH, SongP, XuB, β¦ ElliottP (2016). KLB is associated with alcohol drinking, and its gene product Ξ²-Klotho is necessary for FGF21 regulation of alcohol preference. Proceedings of the National Academy of Sciences, 113(50), 14372β14377. doi: 10.1073/pnas.1611243113PMC516719827911795 | β | β | β |
| ShanahanMJ, & HoferSM (2005). Social context in gene-environment interactions: Retrospect and prospect. The Journals of Gerontology: Series B, 60(1), 65β76. doi: 10.1093/geronb/60.Special_Issue_1.6515863711 | β | β | β |
| SlutskeWS (2005). Alcohol use disorders among US college students and their non-college-attending peers. Archives of General Psychiatry, 62(3), 321β327. doi: 10.1001/archpsyc.62.3.32115753245 | β | β | β |
| UeckerJeremy E. (2012). Marriage and mental health among young adults. Journal of Health and Social Behavior, 53(1), 67β83. doi: 10.1177/002214651141920622328171PMC3390929 | β | β | β |
| UeckerJeremy E. (2014). Religion and early marriage in the United States: Evidence from the Add Health study. Journal for the Scientific Study of Religion, 53(2), 392β415. doi: 10.1111/jssr.1211425045173PMC4096940 | β | β | β |
| UeckerJeremy E., & StokesCharles E. (2008). Early marriage in the United States. Journal of Marriage and Family, 70(4), 835β846. doi: 10.1111/jomf.2008.70.issue-420305796PMC2841346 | β | β | β |
| UmbersonD (1992). Gender, marital status and the social control of health behavior. Social Science & Medicine, 34(8), 907β917. doi: 10.1016/0277-9536(92)90259-S1604380 | β | β | β |
| VriezeSI, IaconoWG, & McGueM (2012). Confluence of genes, environment, development, and behavior in a post Genome-Wide Association Study world. Development andPsychopathology, 24(04), 1195β1214. doi: 10.1017/S0954579412000648PMC347606623062291 | β | β | β |
| WaldronM, HeathAC, LynskeyMT, BucholzKK, MaddenPAF, & MartinNG (2011). Alcoholic marriage: Later start, sooner end. Alcoholism, Clinical and Experimental Research, 35(4), 632β642. doi: 10.1111/j.1530-0277.2010.01381.xPMC306628421244438 | β | β | β |
| WrayNR, LeeSH, MehtaD, VinkhuyzenAAE, DudbridgeF, & MiddeldorpCM (2014). Research Review: Polygenic methods and their application to psychiatric traits. Journal of ChildPsychology andPsychiatry andAlliedDisciplines, 55(10), 1068β1087. doi: 10.1111/jcpp.1229525132410 | β | β | β |
| YamaguchiKazuo & KandelDenise B. (1985). On the resolution of role incompatibility: A life event history analysis of family roles and marijuana use. American Journal of Sociology, 90(6), 1284β1325. doi: 10.1086/228211 | β | β | β |
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External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| A longitudinal study examining the associations between interpersonal trauma and romantic relationships among college students. | Smith RL et al. | β | 2023 | β |
| The collaborative study on the genetics of alcoholism: Genetics. | Johnson EC et al. | β | 2023 | β |
| The collaborative study on the genetics of alcoholism: Sample and clinical data. | Dick DM et al. | β | 2023 | β |
| Using a developmental perspective to examine the moderating effects of marriage on heavy episodic drinking in a young adult sample enriched for risk - CORRIGENDUM. | Cho SB et al. | β | 2022 | β |